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Compressed Domain Image Retrieval Using Thumbnails of Images

机译:使用缩略图的图像压缩域图像检索

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摘要

The emergence of multimedia, the availability of a large digital archives, and the rapid growth of World Wide Web (WWW) have recently attracted research efforts in providing tools for effective retrieval of image database. Content based image retrieval (CBIR) has emerged as a promising approach for image retrieval in last decade. To reduce the storage and transmission requirements in image applications, images are compressed while maintaining acceptable visual quality. In this paper, a unique approach which emphasizes the compressed-domain solutions to image retrieval is explored. A reduced complexity approach for efficient retrieval of images using VQ on thumbnails of images is presented. A VQ codebook is used to represent the image. The similarity is computed in terms of MSE between the thumbnail of query image and all the image thumbnails in the database. The system is tested for various thumbnail sizes. UCID database is used for testing the system.
机译:多媒体的出现,大型数字档案的可用性以及万维网(WWW)的快速增长最近吸引了提供有效检索图像数据库的工具的研究工作。基于内容的图像检索(CBIR)已成为过去十年内图像检索的有希望的方法。为了减少图像应用中的存储和传输要求,在保持可接受的视觉质量的同时压缩图像。在本文中,探讨了强调对图像检索的压缩域解决方​​案的独特方法。呈现了使用VQ在图像缩略图上有效地检索图像的减少的复杂性方法。 VQ码本用于表示图像。在查询图像的缩略图和数据库中的所有图像缩略图之间的MSE之间计算相似性。该系统用于各种缩略图尺寸。 UCID数据库用于测试系统。

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